Dynamics of Horizontal-Axis Wind Turbines
As a form of clean and renewable energy, wind power has an increasing share in electricity generation both in U.S. and the world.
Since energy generation of a turbine is proportional to its rotor area, large wind turbines have become more popular recently.
However, large wind turbines are susceptible to large-amplitude vibrations that can lead to failure.
Determining the conditions that can lead to failure is not trivial, since large turbines have complicated dynamics due to nonlinear effects, such as unsteady winds, structural nonlinearities and cyclically varying parameters.
We are creating dynamical models to identify the conditions that lead to large blade deformations and turbine failure. We also do parametric studies to relate these conditions to structural parameters of turbine parts and turbine speeds. These studies are essential for developing design guidelines for more reliable systems and avoiding critical operation conditions through control schemes.
Forecasting Wind Energy Output
Acar Lab and Stevens collaborators are working on a project on "Resiliency of Energy Resources and Supply Chain for the Industrial Base" sponsored by the U.S. Army, where we develop algorithms for forecasting energy outputs of wind and solar systems using weather and location-specific data.
As a form of clean and renewable energy, wind power has an increasing share in electricity generation both in U.S. and the world. Since energy generation of a turbine is proportional to its rotor area, large wind turbines have become more popular recently. However, large wind turbines are susceptible to large-amplitude vibrations that can lead to failure. Determining the conditions that can lead to failure is not trivial, since large turbines have complicated dynamics due to nonlinear effects, such as unsteady winds, structural nonlinearities and cyclically varying parameters.
We are creating dynamical models to identify the conditions that lead to large blade deformations and turbine failure. We also do parametric studies to relate these conditions to structural parameters of turbine parts and turbine speeds. These studies are essential for developing design guidelines for more reliable systems and avoiding critical operation conditions through control schemes.
Acar Lab and Stevens collaborators are working on a project on "Resiliency of Energy Resources and Supply Chain for the Industrial Base" sponsored by the U.S. Army, where we develop algorithms for forecasting energy outputs of wind and solar systems using weather and location-specific data.